Problem behaviour of black bears (Ursus americanus) in central Ontario: the effects of hunting and natural food availability
Bibliographic record
Abstract
Problem bear behaviour in residential areas often results in human anxiety and potential injury, bear mortality and demographic instability. Identifying and understanding factors related to problem bear activity and encounters is important for developing successful management strategies. Indices of natural bear forage availability and hunting pressure were related to problem bear activity in central Ontario. Data were collected 5 years before and 5 years after the cancellation of a spring bear hunt, providing a unique opportunity to study the effect of management policy on problem behaviour. Problem bear activity indices increased significantly following the closure of the spring hunt. Natural food availability from the previous year was found to be highly correlated with early season problem bear activity indices; however, natural food availability during the same year was not significantly related to early or late season problem activity rates. This demonstrates that multiple potential causal agents of problem bear behaviour need to be considered when developing management strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".